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. 2012 Jul 6;7(7):e40530. doi: 10.1371/journal.pone.0040530

Table 2. Environmental predictors and their discriminatory power.

Predictor Description ROC score PI No
AnnTMean Annual mean temperature (°C) 0.66 7.6 26
DiuTRange Mean diurnal temperature range (°C) 0.58 8.1 23
Isotherm Isothermality (-) 0.58 7.7 21
TSeason Mean temperature seasonality (°C2) 0.58 9.9 23
Tmax Maximum temperature of warmest month (°C) 0.61 3.0 18
TWetQuar Mean temperature of wettest quarter (°C) 0.66 1.8 18
TDryQuar Mean temperature of driest quarter (°C) 0.55 2.6 20
AnnPMean Annual mean precipitation (mm) 0.65 6.1 29
PSeason Mean precipitation seasonality (-) 0.56 3.6 19
AltMean Mean altitude (m) 0.66 17.8 27
CumLenkm Maximum cumulative length of the upstream flow network (km) 0.65 3.9 24
Strahler Maximum Strahler order 0.64 12.9 36
RtypMost Dominant river type 0.61 11.3 32
Lusemax Dominant land use type 0.55 1.7 26
Popmean Mean population density (Inhabitants/km2) 0.57 2.0 24

“ROC score” is the mean ROC score based on the univariate analysis; “PI” is the mean permutation importance of each individual predictor for GLM, GAM, RF and ME based multivariate SDMs; “No” is the number of species for which the respective predictor variable was identified as statistically significant (the total number of considered species is 38).